Tootfinder

Real-Time AI-Driven Pipeline for Automated Medical Study Content Generation in Low-Resource Settings: A Kenyan Case Study
Emmanuel Korir, Eugene Wechuli
https://arxiv.org/abs/2507.05212

Real-Time AI-Driven Pipeline for Automated Medical Study Content Generation in Low-Resource Settings: A Kenyan Case Study
Juvenotes is a real-time AI-driven pipeline that automates the transformation of academic documents into structured exam-style question banks, optimized for low-resource medical education settings in Kenya. The system combines Azure Document Intelligence for OCR and Azure AI Foundry (OpenAI o3-mini) for question and answer generation in a microservices architecture, with a Vue/TypeScript frontend and AdonisJS backend. Mobile-first design, bandwidth-sensitive interfaces, institutional tagging, a…

Yes, #AntiTransPhobiaAction, I have to agree!
#TransRightsAreHumanRights

Low-mass vector-meson production at forward rapidity in $p$$ $$p$ and Au$ $Au collisions at $\sqrt{s_{_{NN}}}=200$~GeV
Collaboration, Abdulameer, Acharya, Adare, Aidala, Ajitanand, Akiba, Alfred, Anderson, Andrieux, Antsupov, Apadula, Asano, Azmoun, Babintsev, Bai, Bandara, Bannier, Bannikov, Barish, Bathe, Bazilevsky, Beaumier, Beckman, Belmont, Berdnikov, Berdnikov, Bichon, Blankenship, Blau, Bok, Borisov, Boyle, Brooks, Bryslawskyj, Bumazhnov, Campbell, Cervantes, Chaitanya, Chen, C…

Low-mass vector-meson production at forward rapidity in $p$$+$$p$ and Au$+$Au collisions at $\sqrt{s_{_{NN}}}=200$~GeV
The PHENIX experiment at the Relativistic Heavy Ion Collider has measured low-mass vector-meson ($ω+ρ$ and $ϕ$) production through the dimuon decay channel at forward rapidity $(1.2<|\mbox{y}|<2.2)$ in $p$$+$$p$ and Au$+$Au collisions at $\sqrt{s_{_{NN}}}=200$~GeV. The low-mass vector-meson yield and nuclear-modification factor were measured as a function of the average number of participating nucleons, $\langle N_{\rm part}\rangle$, and the transverse momentum $p_T$. These results…

Deepfakes in Criminal Investigations: Interdisciplinary Research Directions for CMC Research
Lorenz Meinen, Astrid Schom\"acker, Stefanie Wiedemann, Markus Hartmann, Timo Speith, Lena K\"astner, Niklas K\"uhl, Christian R\"uckert
https://arxiv.org/abs/2507.03457

Deepfakes in Criminal Investigations: Interdisciplinary Research Directions for CMC Research
The emergence of deepfake technologies offers both opportunities and significant challenges. While commonly associated with deception, misinformation, and fraud, deepfakes may also enable novel applications in high-stakes contexts such as criminal investigations. However, these applications raise complex technological, ethical, and legal questions. We adopt an interdisciplinary approach, drawing on computer science, philosophy, and law, to examine what it takes to responsibly use deepfakes in c…

Palestine Action / UK censorship
Good article from @….
"While the groups actions may constitute criminal damage, their actions do not represent an attempt to induce fear in the population by creating an imminent threat to life. ...
"Proscribing Palestine Action as terrorists is not about public safety – it is about suppressing protest that we may disagree or agree with, but that stands well short of being an attempt to strike fear into the British public through the use of indiscriminate violence against people. In equating support of damage to military property with support of terrorism, it endangers legitimate debate about the UK-Israel arms trade. ...
"As there is no public evidence of any link to terrorism or support of terrorist groups from Palestine Action, Open Rights Group supports their decision to appeal proscription. While we may have differing opinions on their tactics, we stand against this attack on their right to exist and speak out."
#PalestineAction #UK #censorship #UKPol

How can Western countries back up Palestine recognition with action? Here are 4 ways to pressure Israel https://theconversation.com/how-can-western-countries-back-up-palestine-recognition-with-acti…

How can Western countries back up Palestine recognition with action? Here are 4 ways to pressure Israel
Western countries agree a two-state solution is the way to resolve the Israeli-Palestinian conflict. But are they willing to take action to make it happen?

#ndwgoecountdown Jupiter: Gasriese im Sonnensystem
Jupiter ist der größte Planet im Sonnensystem; seine Wolkenwirbel und -bänder geben uns Rätsel auf. Unter Eisschichten verbergen seine Monde Europa und Ganymed Ozeane, in denen sich Leben entwickelt haben könnte. Das MPS stellt Weltrauminstrumente vor, die an Bord der Raumsonde JUICE auf dem Weg zum Jupiter sind. Mit Wolkenwir…

Few-Shot Neuro-Symbolic Imitation Learning for Long-Horizon Planning and Acting
Pierrick Lorang, Hong Lu, Johannes Huemer, Patrik Zips, Matthias Scheutz
https://arxiv.org/abs/2508.21501

Few-Shot Neuro-Symbolic Imitation Learning for Long-Horizon Planning and Acting
Imitation learning enables intelligent systems to acquire complex behaviors with minimal supervision. However, existing methods often focus on short-horizon skills, require large datasets, and struggle to solve long-horizon tasks or generalize across task variations and distribution shifts. We propose a novel neuro-symbolic framework that jointly learns continuous control policies and symbolic domain abstractions from a few skill demonstrations. Our method abstracts high-level task structures i…

Austin-based PE firm Haveli Investments agrees to acquire Couchbase, which offers a cloud database for AI applications, for about $1.5B (Akash Sriram/Reuters)
https://www.reuters.com/legal/transactional/hav…

FMimic: Foundation Models are Fine-grained Action Learners from Human Videos
Guangyan Chen, Meiling Wang, Te Cui, Yao Mu, Haoyang Lu, Zicai Peng, Mengxiao Hu, Tianxing Zhou, Mengyin Fu, Yi Yang, Yufeng Yue
https://arxiv.org/abs/2507.20622

FMimic: Foundation Models are Fine-grained Action Learners from Human Videos
Visual imitation learning (VIL) provides an efficient and intuitive strategy for robotic systems to acquire novel skills. Recent advancements in foundation models, particularly Vision Language Models (VLMs), have demonstrated remarkable capabilities in visual and linguistic reasoning for VIL tasks. Despite this progress, existing approaches primarily utilize these models for learning high-level plans from human demonstrations, relying on pre-defined motion primitives for executing physical inte…